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Thomas Gabel

Batch Reinforcement Learning
2012 · Sascha Lange, Thomas Gabel, et al. · Adaptation, learning, and optimization · 428
Reinforcement learning for robot soccer
2009 · Martin Riedmiller, Thomas Gabel, et al. · Autonomous Robots · 258
Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm
2018 · Alaa Tharwat, Mohamed Elhoseny, et al. · Cluster Computing · 241
Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm
2019 · Alaa Tharwat, Thomas Gabel · Neural Computing and Applications · 132
MOGOA algorithm for constrained and unconstrained multi-objective optimization problems
2017 · Alaa Tharwat, Essam H. Houssein, et al. · Applied Intelligence · 114
Distributed policy search reinforcement learning for job-shop scheduling tasks
2011 · Thomas Gabel, Martin Riedmiller · International Journal of Production Research · 89
Adaptive Reactive Job-shop Scheduling With Reinforcement Learning Agents
2008 · Thomas Gabel, Martin Riedmiller · 81
Using Evolution Programs to Learn Local Similarity Measures
2007 · Armin Stahl, Thomas Gabel · Springer eBooks · 64
A biometric-based model for fish species classification
2018 · Alaa Tharwat, Ahmed Abdelmonem Hemedan, et al. · Fisheries Research · 60
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup
2007 · Martin Riedmiller, Thomas Gabel · IEEE Conference on Computational Intelligence and Games (CIG) · 49
Parameter Optimization of Support Vector Machine Using Dragonfly Algorithm
2017 · Alaa Tharwat, Thomas Gabel, et al. · Advances in intelligent systems and computing · 46
CBR for State Value Function Approximation in Reinforcement Learning
2005 · Thomas Gabel, Martin Riedmiller · Lecture notes in computer science · 37
A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach
2009 · Thomas Gabel, Martin Riedmiller, et al. · Lecture notes in computer science · 35
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On a Successful Application of Multi-Agent Reinforcement Learning to Operations Research Benchmarks
2007 · Thomas Gabel, Martin Riedmiller · IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning · 35
Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems
2007 · Thomas Gabel, Martin Riedmiller · IEEE Symposium on Computational Intelligence in Scheduling (CISched) · 22
Top-Down Induction of Similarity Measures Using Similarity Clouds
2015 · Thomas Gabel, Eicke Godehardt · Lecture notes in computer science · 21
Multi-Agent Reinforcement Learning Approaches for Distributed Job-Shop Scheduling Problems
2009 · Thomas Gabel · Scientific Publication Server (Frankfurt University of Applied Sciences) · 20
Exploiting Background Knowledge when Learning Similarity Measures
2004 · Thomas Gabel, Armin Stahl · Lecture notes in computer science · 18
Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark
2011 · Thomas Gabel, Christian Lutz, et al. · IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning · 16
On Progress in RoboCup: The Simulation League Showcase
2011 · Thomas Gabel, Martin Riedmiller · Lecture notes in computer science · 16
Brainstormers 2D - Team Description 2005
2005 · Martin Riedmiller, Thomas Gabel, et al. · 15
Optimizing similarity assessment in case-based reasoning
2006 · Armin Stahl, Thomas Gabel · 13
Selecting Heterogeneous Team Players by Case-Based Reasoning: A Case Study in Robotic Soccer Simulation
2002 · Thomas Gabel, Manuela Veloso · 13
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
2008 · Thomas Gabel, Martin Riedmiller · 12
Reducing policy degradation in neuro-dynamic programming.
2006 · Thomas Gabel, Martin Riedmiller · 11
Works count: 57
Citation count: 1,936
H-index: 18
I10-index: 26
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